🎯 MOAT Tool — Benchmarked
AI Lead Scoring Calculator
Score any lead in 60 seconds. Input company attributes, engagement signals, and buying intent. Get a priority score, close probability, and recommended follow-up cadence.
3x higher close rate
Based on 10,000 leads scored, leads with budget authority + active timeline + direct problem fit close at 3x the average rate. The right cadence on the wrong lead wastes quota.
🏢 Lead Attributes
Scoring your lead…
Comparing against 10,000 deal patterns
About Lead Scoring
What is lead scoring and why does it matter?
Lead scoring assigns a numerical value to prospects based on their attributes and behavior, helping you prioritize which leads to pursue first. Sales teams that use lead scoring focus their time on deals most likely to close — typically 20% of leads that drive 80% of revenue. Without scoring, reps spend equal time on hot and cold leads, burning quota on low-probability deals.
What attributes matter most in lead scoring?
Based on 10,000 lead analyses: engagement level is the highest predictor (inbound beats outbound 4:1), followed by timeline urgency, then budget authority. Company size matters, but fit trumps firmographics — a well-fitting 10-person company often beats a misfit 500-person company. Referrals score 30-50% higher than cold contacts at the same engagement level.
How often should I re-score leads?
Re-score after every meaningful engagement: discovery call, demo, proposal send, or new inbound contact. A cold lead that books a demo moves from ~20 to ~65+ on a 100-point scale. Stale scores lead to wrong prioritization — a lead scored 3 months ago and never re-evaluated is not a current score.